Data science has emerged as the fastest-growing career field in the past decade. Irrespective of the nature of the industry, data science has cultivated entirely unconventional ways of looking at and working with data, guided by standard statistical and mathematical principles. What is fascinating are the deep insights we gain with this—"data is the new fuel," as it is commonly known.
Data science and machine learning are buzzwords that go hand in hand. This one-of-a-kind MSc programme is a blend of data science, machine learning, and artificial intelligence to enable students' business decision-making and analytics. This M.Sc is an experiential degree programme that focuses on transforming you into a hands-on, skills-driven, strategic data science manager in today’s data-driven economy.
Artificial intelligence (AI) and machine learning (ML) both serve similar functions. Regardless of industry, ML and AI have drastically altered the landscape and created new ways of viewing data. All are backed by standard statistical and mathematical principles.
This MSc programme in Data Science, Machine Learning, and Artificial Intelligence brings together the nuances of both disciplines to offer students exactly what is needed to understand the world of data, both in terms of tools and theory. Machine learning enables students' business decision-making and analytics.
1. Gain an understanding of data science, AI concepts, and MI algorithms with the application of each.
2. Develop critical thinking by taking up assignments that require problem solving, inference, and perception.
3. Understand business problems and weave an approach to solving them through learned principles.
4. Figure out a method to judiciously study and scan data to apply ML algorithms to reveal insights.
5. Be familiar with the tools and technologies used in the data science industry.
This M.Sc program comprises of a total of 90 ECTS credits. Students will earn 40 ECTS in Core Courses, and remaining 28 ECTS in specialization related taught courses, 6 ECTS for specialization related consulting project and 16 ECTS for internship and master thesis.
You are required to hold at minimum a recognised bachelor’s degree with a minimum overall score of 55% (GPA 2.0 on a 4.0 point scale) or higher.
In some instances, you may also require relevant work experience and/or research experience. If applicable, you may demonstrate this through submission of a CV, portfolio, and/or a personal statement.
English Language Proficiency:
Our programs are conducted in English language. As such, you must demonstrate proficiency in English language by submitting one of the following test scores during the application process:
IELTS Overall: 5.5
TOEFL (iBT: 58+; PBT: 490+; CBT: 167+)
TOEIC Overall: 555+
PTE Overall: 50+
Duolingo Overall: 90+
The total fees for this program is:
Initial deposit: CHF 3000 (After receiving conditional offer letter)
Remaining Amount from 1st year fee: CHF 14500 (After confirmation of visa approval from the school, but before visa stamping)
2nd Year fee as applicable: 3 months before the start of Year 2.
The MSc in Data Science, Machine Learning, and AI will equip our graduates with the necessary skills and knowledge to assist them in their career growth. The programme introduces students to the nature of work, the complexities involved, and viable solution approaches for industry problems, with equal emphasis on theoretical concepts and practical applications. Ample business projects, training on advanced tools, and guidance by industry mentors will allow students to gain a 360-degree exposure to the world of data science.
Each student at Rushford is matched with an industry mentor, preferably in the same industry in which the student is working or has aspirations to enter. The mentor guides the student through the course and provides the student with real-life experiential learning along with the core learning taking place in the program.
After successful completion of the program, career roles would be guided by the level of expertise of the students and prior experience. For working professionals, opportunities range from a career shift or transformation from the current role to a data analysis-centric role.
For fresh graduates, the knowledge and skills developed during the programme would enable them to apply for suitable positions centred around their skills and interests. Students can target any of the following roles:
To apply for this program kindly follow the application process as described in the following link:
Various courses are accompanied by simulations in which you are given a situation that you must resolve based on what you learnt in the program and your experience. There are usually no right or wrong answers in simulations. They are to make you understand how a situation may unfold in the real world and prepare you to make the right decisions.
We understand the importance of networking in building a successful career. That's why we offer a range of networking events to help our students connect with industry professionals and build the relationships that can lead to new opportunities.